Recording a meeting is a solved problem. Every tool on this list can join a Zoom call, record audio, and produce a transcript. Some add speaker labels. Some highlight key moments. All of them give you a searchable record of what was said.
None of that matters if the follow-ups don’t happen.
The real problem with meetings isn’t documentation — it’s the gap between what was discussed and what gets done afterward. Someone says “I’ll send that over by Friday.” It’s Tuesday now. Nobody wrote it down. The recording exists, buried in a folder nobody will reopen. By next Monday, the commitment has slipped and everyone acts surprised.
Meeting assistants have gotten very good at the recording side. The question worth asking is which ones actually help with what comes after.
Quick Comparison
| Tool | Price | Best For | Key Limitation |
|---|---|---|---|
| Otter.ai | Free–$20/mo | Transcription and real-time notes | Follow-up tracking is weak |
| tl;dv | Free–$59/mo | Recording with AI highlights | Post-meeting action is still manual |
| Fireflies.ai | Free–$19/mo | Searchable meeting intelligence | AI credits limit heavy usage on Pro |
| Read.ai | Free–$20/mo | Meeting engagement analytics | Analytics-heavy, action-light |
| Grain | Free–$48/mo | Video clip sharing for teams | Pricey for full features, sales-focused |
Deep Dives
Otter.ai — Free–$20/mo
Otter.ai is the most recognizable name in AI meeting transcription. The free plan gives you 300 minutes per month with 30-minute conversation limits. Pro runs $16.99/mo (or $8.33/mo annual) with 1,200 minutes and 90-minute limits. Business is $20/mo (annual) with 6,000 minutes.
The transcription quality is solid and has improved significantly with AI. Real-time notes during meetings, speaker identification, and the ability to highlight key moments as they happen are genuinely useful. The search function lets you find specific topics across all your recorded meetings.
Where Otter falls short is after the transcript is generated. You get a summary, maybe some auto-detected action items, but the follow-through is on you. The transcript lives in Otter. The action items need to be manually moved to your task manager, your email, your project tool. The gap between “this was discussed” and “this was done” remains entirely your problem. For pure transcription and searchable meeting records, Otter is hard to beat at the price. For ensuring meetings actually lead to outcomes, it’s only solving the first half.
Pros: Industry-standard transcription quality. Generous free tier. Real-time notes during meetings. Cons: Follow-up tracking is manual. Action items don’t flow to other tools natively. Free tier limits are constraining for heavy users.
tl;dv — Free–$59/mo
tl;dv’s pitch is “never take notes in a meeting again,” and the free plan delivers on that with unlimited recordings and AI-generated transcripts. It supports Zoom, Google Meet, and Microsoft Teams. The Pro plan at $18/mo adds unlimited AI features, CRM integrations, and sales coaching. Business at $59/mo adds conversation intelligence and deal insights.
The highlight feature is genuinely clever: you can mark moments during a meeting, and tl;dv creates timestamped clips that link directly to that point in the recording. For teams that need to share specific meeting moments — “here’s where the client said they want to launch by March” — it’s faster than scrubbing through a full recording.
The free tier is among the most generous in this space. Unlimited recordings and transcripts with no time caps. The limitation surfaces in AI depth: summarization, action item extraction, and coaching features are gated behind paid plans. Post-meeting action — actually turning what was discussed into tasks, emails, or follow-ups — still requires you to take those highlights and do something with them manually. tl;dv makes it easier to find what matters. It doesn’t ensure what matters gets done.
Pros: Unlimited free recordings and transcripts. Timestamp clips for sharing specific moments. CRM integration on paid plans. Cons: AI features locked behind Pro. Post-meeting follow-up is still manual. Business plan at $59/mo is steep.
Fireflies.ai — Free–$19/mo
Fireflies.ai provides transcription, conversation search, and what it calls “conversation intelligence” — analytics on talk time, sentiment, and topics across your meetings. The free plan includes 800 minutes per month. Pro runs $10/mo (annual) or $18/mo (monthly) with unlimited transcription. Business is $19/seat/mo with video recording and team analytics.
The search across meetings is Fireflies’ strongest feature. You can search for a topic and find every instance it was discussed across all your recorded meetings. For teams that have the same conversation three times and need to find the definitive version, this saves real time. The AskFred AI assistant lets you ask questions about your meeting content.
The hidden friction: Pro plans include only 20 AI credits per month. If you lean heavily on AI-powered features — summaries, action item extraction, question-answering — you can burn through credits quickly. The transcription itself is unlimited, but the intelligence layer that makes transcripts useful has a meter running. For teams that record five or more meetings per day, this constraint shapes usage.
Pros: Strong cross-meeting search. Affordable Pro plan for basic transcription. AskFred AI for meeting questions. Cons: AI credits limit heavy AI usage. 800 minutes on free plan can feel tight. Follow-up actions aren’t automated.
Read.ai — Free–$20/mo
Read.ai differentiates itself with meeting engagement analytics. Beyond transcription and summaries, it measures attention levels, talk-time balance, and meeting effectiveness. The free plan covers five meetings per month. Pro is approximately $15–20/mo depending on billing cycle.
The analytics angle is unique. After a meeting, Read.ai tells you not just what was said, but how the meeting went: who dominated the conversation, whether attention drifted, and how the meeting scored on effectiveness metrics. For managers running recurring team meetings, this feedback loop can genuinely improve how meetings are run.
The limitation is that analytics are backward-looking by nature. Read.ai tells you that your Monday standup had uneven participation and ran fifteen minutes over. Useful for improving future meetings. Less useful for ensuring the three action items from that standup actually get completed. The tool is oriented toward meeting quality rather than meeting outcomes. If your problem is “my meetings are poorly run,” Read.ai provides the data to fix that. If your problem is “things discussed in meetings don’t get done,” the analytics don’t close that gap.
Pros: Unique engagement and effectiveness analytics. Helps improve meeting quality over time. Works across major platforms. Cons: Five-meeting limit on free plan is restrictive. Analytics focus over action focus. Doesn’t automate post-meeting follow-up.
Grain — Free–$48/mo
Grain positions itself as the meeting tool for growing teams, with a focus on shareable video clips and CRM integration. The free plan includes unlimited meetings with basic AI notes. Pro costs $24/user/mo (annual) with full recording and storage. Business at $48/user/mo adds deal insights, coaching, and advanced CRM features.
The clip-sharing workflow is polished. Record a meeting, highlight a key moment, and share a timestamped clip to Slack, Notion, or your CRM without anyone needing to watch the full recording. For sales teams that need to share prospect reactions with deal teams, or product teams sharing user feedback from research calls, this is the core value.
Grain has leaned heavily into the sales use case — CRM enrichment, deal insights, coaching features. This focus makes it excellent for revenue teams and less relevant for general business meetings. The pricing reflects this positioning: Business at $48/user/mo is in revenue tool territory, not meeting assistant territory. If you’re evaluating Grain for general meeting notes and follow-up, you’re paying for sales features you won’t use.
Pros: Best-in-class clip sharing. Strong CRM integration for sales teams. Free tier includes unlimited meetings. Cons: Sales-focused positioning may not fit general use. $48/user/mo Business plan is expensive. Post-meeting actions are still manual.
Our Take
Every tool here does recording and transcription well enough. The differences are in what happens next — and honestly, none of them solve the follow-up problem completely.
If transcription quality and search are your priority, Otter.ai and Fireflies.ai deliver at reasonable prices. If meeting improvement through analytics matters, Read.ai provides unique data. If sharing specific moments across a team is the workflow, tl;dv and Grain handle clips well.
The gap every tool shares: getting action items out of meetings and into the systems where they’ll actually get tracked. Transcripts become reference material. Summaries get skimmed and forgotten. The action items that were supposed to happen after the meeting quietly slip away because the meeting assistant’s job ended when the recording stopped.
For teams where meeting follow-up is the real bottleneck — not recording, not transcription, but making sure commitments become completed tasks — the meeting assistant is only half the solution. The other half is a follow-up system that catches what slipped.
Do AI meeting assistants work with all video platforms?
Most support Zoom, Google Meet, and Microsoft Teams. Coverage beyond those three varies. Otter.ai and Read.ai support the major platforms. tl;dv covers Zoom, Meet, and Teams. Fireflies.ai has the broadest integration list. Check compatibility with your specific platform before committing, especially if you use less common tools like Webex, GoTo Meeting, or BlueJeans. The bot typically joins as a participant — some organizations block bot participants for security reasons, which can prevent the tool from recording at all.
Will my meeting participants know they’re being recorded?
Yes, and they should. Every reputable meeting assistant announces its presence when joining the call, either through a visible bot participant or a notification. Many jurisdictions legally require all-party consent for recording. The tools handle this by joining visibly — your participants will see “Otter.ai Bot” or “Fireflies.ai Notetaker” in the participant list. Some attendees find this uncomfortable. It’s worth giving your team and external contacts a heads-up before the first time they see a recording bot join your call.
How accurate are AI meeting transcripts?
Accuracy has improved dramatically — most tools now achieve 90–95% accuracy in clear audio conditions with native English speakers. Accuracy drops with heavy accents, multiple simultaneous speakers, poor audio quality, or specialized technical vocabulary. None are perfect. If legal or contractual precision matters, treat AI transcripts as reference documents, not records of truth. For general meeting notes and action item capture, the accuracy is more than sufficient. The time saved versus manual note-taking dwarfs the occasional transcription error.
Can meeting assistants join meetings I’m not attending?
Most paid plans support this. You can configure the bot to join any meeting on your calendar, even if you’re not present. This is useful for meetings you need notes from but don’t need to attend — your team’s standup, a vendor check-in, a recurring sync. The bot joins, records, and delivers the summary to you afterward. Some tools require the meeting to be on your calendar. Others allow you to send the bot a meeting link directly. Check the specific tool’s policy on non-attended meeting recording, as some platforms treat this differently from attended recordings.